{"id":"https://openalex.org/W7154015509","doi":"https://doi.org/10.1145/3802593","title":"FDSR: Efficient Model Training via Adaptive Tensor Quantization Based on Frequency Domain Division and Similarity Data Reuse","display_name":"FDSR: Efficient Model Training via Adaptive Tensor Quantization Based on Frequency Domain Division and Similarity Data Reuse","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154015509","doi":"https://doi.org/10.1145/3802593"},"language":"en","primary_location":{"id":"doi:10.1145/3802593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3802593","pdf_url":null,"source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1145/3802593","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100339577","display_name":"Song Liu","orcid":"https://orcid.org/0000-0001-7120-894X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0001-7120-894X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038281685","display_name":"FuLi LI","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Li","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0009-0005-5490-3998","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chenyu Zhao","orcid":"https://orcid.org/0009-0006-5013-0972"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Zhao","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0009-0006-5013-0972","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133492547","display_name":"Qin Xia","orcid":"https://orcid.org/0009-0004-6546-9421"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Xia","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0009-0004-6546-9421","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016908677","display_name":"Shiqiang Nie","orcid":"https://orcid.org/0000-0003-2215-7159"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqiang Nie","raw_affiliation_strings":["Xi'an Jiaotong University School of Computer Science and Technology"],"raw_orcid":"https://orcid.org/0000-0003-2215-7159","affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University School of Computer Science and Technology","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614575","display_name":"Jinyu Wang","orcid":"https://orcid.org/0000-0002-9449-3453"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyu Wang","raw_affiliation_strings":["School of Computer Science and Technology, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-9449-3453","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133546926","display_name":"Weiguo Wu","orcid":"https://orcid.org/0000-0002-1179-3435"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Wu","raw_affiliation_strings":["Electronics and Information Engineering, Xi'an Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-1179-3435","affiliations":[{"raw_affiliation_string":"Electronics and Information Engineering, Xi'an Jiaotong University","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40255171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":"2","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5439000129699707,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.5439000129699707,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.08630000054836273,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.040699999779462814,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.7883999943733215},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.47839999198913574},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.477400004863739},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.45320001244544983},{"id":"https://openalex.org/keywords/vector-quantization","display_name":"Vector quantization","score":0.3467000126838684},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3287000060081482},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.29660001397132874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83160001039505},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.7883999943733215},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.477400004863739},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.45320001244544983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44699999690055847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3788999915122986},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.351500004529953},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.25429999828338623},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3802593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3802593","pdf_url":null,"source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3802593","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3802593","pdf_url":null,"source":{"id":"https://openalex.org/S26056741","display_name":"ACM Transactions on Architecture and Code Optimization","issn_l":"1544-3566","issn":["1544-3566","1544-3973"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Architecture and Code Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5773953133","display_name":null,"funder_award_id":"2022YFB4501604","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1755395139","https://openalex.org/W1861492603","https://openalex.org/W2046542508","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2951973024","https://openalex.org/W2952777853","https://openalex.org/W2963273111","https://openalex.org/W2963351448","https://openalex.org/W2963446712","https://openalex.org/W2963594949","https://openalex.org/W2999803881","https://openalex.org/W3010557233","https://openalex.org/W3043802286","https://openalex.org/W3097297321","https://openalex.org/W3102337469","https://openalex.org/W3108835732","https://openalex.org/W3137147200","https://openalex.org/W3138516171","https://openalex.org/W3161051256","https://openalex.org/W3175730059","https://openalex.org/W3201591402","https://openalex.org/W3216957337","https://openalex.org/W4224310326","https://openalex.org/W4285356434","https://openalex.org/W4360831989","https://openalex.org/W4361017517","https://openalex.org/W4386290345","https://openalex.org/W4386607611","https://openalex.org/W4402716122"],"related_works":[],"abstract_inverted_index":{"As":[0],"deep":[1],"neural":[2],"networks":[3],"(DNNs)":[4],"continue":[5],"to":[6,86,127,136,202,213,220],"grow":[7],"in":[8,91,102],"scale":[9],"and":[10,43,58,82,107,110,143,172,215],"complexity,":[11],"GPU":[12,228],"memory":[13,89,105,141,186,209],"limitations":[14],"have":[15],"become":[16],"a":[17,38,112,153,166],"significant":[18],"challenge":[19],"for":[20],"DNN":[21],"model":[22,30,44,93,108,128],"training,":[23,34],"especially":[24],"on":[25,197,226],"resource-constrained":[26],"commercial":[27,199],"GPUs.":[28],"While":[29],"quantization":[31,41,47,75,115,118,124,205],"facilitates":[32],"memory-efficient":[33],"it":[35,64],"often":[36],"necessitates":[37],"tradeoff":[39],"between":[40],"granularity":[42],"accuracy.":[45],"And":[46],"imposes":[48],"additional":[49],"computational":[50,149],"overhead,":[51],"which":[52],"adversely":[53],"affects":[54],"the":[55,61,88,97,123,148,198,203],"training":[56,131],"throughput":[57,217],"apportions":[59],"out":[60],"performance":[62,224],"gains":[63],"brings.":[65],"In":[66],"this":[67],"article,":[68],"we":[69],"propose":[70],"FDSR,":[71],"an":[72,181],"adaptive":[73],"tensor":[74,114],"method":[76],"that":[77,158,178],"leverages":[78,96],"frequency":[79],"domain":[80],"division":[81],"similarity-based":[83,155],"data":[84,137],"reuse":[85,156],"break":[87],"bottleneck":[90],"visual":[92],"training.":[94],"FDSR":[95,151,179,207],"frequency-domain":[98,138],"characteristics":[99],"of":[100,104,183],"tensors":[101],"terms":[103],"consumption":[106,142],"accuracy,":[109],"proposes":[111],"fine-grained":[113],"with":[116,188,222],"different":[117,227],"bit-widths.":[119],"It":[120],"adaptively":[121],"optimizes":[122],"parameters":[125],"according":[126,135],"accuracy":[129,144,192],"during":[130],"while":[132],"employing":[133],"sparsification":[134],"features,":[139],"minimizing":[140],"loss.":[145],"To":[146],"counteract":[147],"cost,":[150],"incorporates":[152],"novel":[154],"strategy":[157],"avoids":[159],"redundant":[160],"quantization/dequantization":[161],"computations,":[162],"further":[163],"enhanced":[164],"by":[165,211,218],"tailored":[167],"Locality-Sensitive":[168],"Hashing":[169],"(LSH)":[170],"mechanism":[171],"optimized":[173],"kernels.":[174],"Experimental":[175],"results":[176],"demonstrate":[177],"achieves":[180],"average":[182,191],"10.20\u00d7":[184],"activation":[185],"compression":[187],"only":[189],"1.10%":[190],"loss":[193],"across":[194],"various":[195],"models":[196],"GPU.":[200],"Compared":[201],"state-of-the-art":[204],"methods,":[206],"improves":[208],"optimization":[210],"up":[212,219],"68.6%":[214],"increases":[216],"25.55%,":[221],"consistent":[223],"improvements":[225],"architectures.":[229]},"counts_by_year":[],"updated_date":"2026-06-26T06:17:10.115597","created_date":"2026-04-14T00:00:00"}